July 2017
Intermediate to advanced
398 pages
11h 54m
Chinese
Content preview from Python数据处理
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展示数据
｜
201
与听众交谈
当思考如何讲述故事给听众时，搞明白他们如何学习和理解这个世界，特别是你的主
题，这一点很重要。这些问题会指引你讲故事的过程，将发现以最佳方式传达给目标
听众。
•
你的听众是如何学习新事物的
?
在线学习？口口相传？通过出版物？
•
关于这个主题你的听众有多少先验知识？是否有听众会感到陌生的单词或想法？
•
你的听众能否自己探索数据？
•
你的听众会花费多少时间和注意力听故事？
•
在与你或他人谈论这个故事时，听众的参与度如何？
•
如果有新的信息发布，你的听众是否想要被告知并更新信息？
这些只是众多问题中的一部分，你可以通过这些问题来确定真正的听众，以及他们如
何才能最好地消化你的故事。以这些问题为最初的提示，让它们引导你找到更多关于
如何分享发现的问题。
如果你找到了听众，准备好开始讲故事了，你就可以着手研究通过可视化工具讲述数据故
事的方式了。
10.2
可视化数据
处理数据时，你可能希望使用一些可视化工具来讲故事。根据故事的不同，你的可视化选
择可能是图表、图片或者时间线。无论你如何展示数据，第一步是确定哪些可视化数据是
有用且相关的。
在以可视化方式讲故事的过程中，确定怎样展示发现至关重要。正像
Alberto Cairo
在其关
于数据可视化的博客文章（
http://www.thefunctionalart.com/2014/08/to-make-visualizations-
that-are.html
）中写道的，如果不展示所有相关的数据，可能会让听众对你的方法和发现有
疑问。
这类似于用文档详细描述数据分析和方法论，我们需要文档化和保护可视化 ...
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.